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DBMS > Datomic vs. Hypertable vs. Quasardb vs. TimescaleDB vs. VictoriaMetrics

System Properties Comparison Datomic vs. Hypertable vs. Quasardb vs. TimescaleDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSWide column storeTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitewww.datomic.comquasar.aiwww.timescale.comvictoriametrics.com
Technical documentationdocs.datomic.comdoc.quasar.ai/­masterdocs.timescale.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCognitectHypertable Inc.quasardbTimescaleVictoriaMetrics
Initial release20122009200920172018
Current release1.0.7180, July 20240.9.8.11, March 20163.14.1, January 20242.15.0, May 2024v1.91, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++CGo
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
TriggersBy using transaction functionsnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoconsistent hashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas infoSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoTransient modenono
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
DatomicHypertableQuasardbTimescaleDBVictoriaMetrics
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